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agml-crop-yield-forecasting

AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.

clip-ship-planet-cli

Clip and Ship application to batch clip using Planet's Clip API

crop-rs-met

Crop RS-Met is a proximal sensing-based model for ET and soil water content for crops in IDL

daspy

Python Multivariate Land Data Assimilation System with High Performance Computing for CLM 4.5

gee_asset_manager

Google Earth Engine Batch Asset Manager

hiclimr

HiClimR: Hierarchical Climate Regionalization

hybrid9

Fully parallel global HYBRID using new hydrology.

hydrosoil_py

HydroSoil is a numerical model for soil-water flow simulations under construction

idl_wofost_7.1

IDL version of the WOFOST 7.1 crop simulation model

modelingclimatetrends

pysawit

Oil Palm Growth and Yield Model

python-vegindex

Python package to generate vegetation index timeseries from PhenoCam images.

pywaterbal

Unsaturated soil water flow model

r-geospatial-webinar

Earthdata Webinar March 2019

remote_sensing_course

rs-pestdyn

RS-PestDyn is an insect pest population dynamics model driven by satellite-derived information

wrf

The official repository for the Weather Research and Forecasting (WRF) model

xroi

Delineate region of interest and extract time-series data from digital repeat photography images

youtube_tutorials

Youtube channel programs and resources.